Model comparison
Llama 2-13B vs Tulu 3 (Tülu 3) 70B
Tulu 3 (Tülu 3) 70B is the stronger model overall, scoring 33.0 to 29.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
Meta
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Llama 2-13B scores higher in 2 categories and Tulu 3 (Tülu 3) 70B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-13B leads 31.1 to 14.2.
Side by side
| Llama 2-13B | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 29.6 | 33.0 |
| Released | 2023-07-18 | 2024-11-21 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Tulu 3 (Tülu 3) 70B leads
Llama 2-13B: 30.9 (#291), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1062 | 1235 |
Reasoning Tulu 3 (Tülu 3) 70B leads
Llama 2-13B: 12.8 (#337), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1220 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 106.17 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Llama 2-13B leads
Llama 2-13B: 31.1 (#229), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Math | 1065 | 1242 |
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| MATH Level 5 | — | 42.7% |
| GSM8K | 36.9% | — |
Knowledge Llama 2-13B leads
Llama 2-13B: 28.1 (#249), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| LMArena Expert | 1030 | — |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Tulu 3 (Tülu 3) 70B: —
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Tulu 3 (Tülu 3) 70B leads
Llama 2-13B: 26.5 (#279), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1024 | 1236 |
| LMArena Chinese | 1001 | 1249 |
| LMArena Russian | 1055 | 1246 |
| LMArena French | 1044 | — |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
| LMArena Korean | 953 | — |
| LMArena Spanish | 1087 | — |
Instruction Following Tulu 3 (Tülu 3) 70B leads
Llama 2-13B: 53.3 (#287), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1045 | 1233 |
Long Context Tulu 3 (Tülu 3) 70B leads
Llama 2-13B: 32.3 (#269), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1064 | 1224 |
Writing & Preference Tulu 3 (Tülu 3) 70B leads
Llama 2-13B: 29.8 (#289), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | Llama 2-13B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1084 | 1256 |
| LMArena Creative Writing | 1047 | 1231 |
| LMArena Multi-Turn | 1050 | 1252 |
Frequently asked questions
Is Llama 2-13B better than Tulu 3 (Tülu 3) 70B?
Tulu 3 (Tülu 3) 70B is the stronger model overall, scoring 33.0 to 29.6 on the Noometry Index.
Is Llama 2-13B or Tulu 3 (Tülu 3) 70B better for coding?
Tulu 3 (Tülu 3) 70B scores higher on coding benchmarks: 36.0 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Tulu 3 (Tülu 3) 70B share?
11 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.